On the Investigation of the Effect of Tower and Hub Exclusion on the Numerical Results of a Horizontal Axis Wind Turbine
DOI:
https://doi.org/10.21152/1750-9548.16.2.147Abstract
In order to construct a 3D rotor model, periodicity and Multiple Reference Frame (MRF) strategies were applied to address full Computational Fluid Dynamics (CFD) that incorporate the Reynolds-averaged Navier–Stokes (RANS) equations. A simulation model was run to examine the power of the wind turbines, both including and excluding the hub and tower. The purpose of this was to identify an approach that would decrease the computational time cost of wind turbine simulation. Firstly, a full-scale horizontal axis wind turbine simulation was carried out, and subsequently, comparisons were made with the results of the wind tunnel experiment utilizing the K-omega SST and Sparlat Allmaras viscosity models. The results were compared to determine the optimum model with the lowest simulation time and highest accuracy to the experimental results. Following this, the complete models’ simulation was compared to the model excluding the hub and tower in order to check the disparity in the results of the two. Additionally, to ascertain the computational cost saving, the ratio of the two simulation times was established. The findings show that the two models produce results that correspond well to the experimental results, and that the power coefficient had a greater value for the complete model than the simple model. Furthermore, it was found that the power coefficient values of the full model have significantly higher levels of similarity to the experimental values. The Sparlat Allmaras and K-omega SST viscosity models returned error percentages of 0.52% and 12.6% respectively. For the partial model utilizing the same computer device, a 5.7% error rate was recorded, with a computational time saving of approximately 34%.
References
Wu Y-T, Liao T-L, Chen C-K, Lin C-Y, Chen P-W, Power output efficiency in large wind farms with different hub heights and configurations, Renewable Energy, March 2019, Vol. 132, pp. 941- 949. DOI: https://doi.org/10.1016/j.renene.2018.08.051
Gkeka-Serpetsidaki P, Tsoutsos T. A methodological framework for optimal siting of offshore wind farms: A case study on the island of Crete. Energy. Janary 2022, Vol. 239, Part D, 122296. DOI: https://doi.org/10.1016/j.energy.2021.122296
Molina Gómez A, Morozovska K, Laneryd T, Hilber P, Optimal sizing of the wind farm and wind farm transformer using MILP and dynamic transformer rating, International Journal of Electrical Power and Energy Systems, March 2022, Vol. 136, 107645. DOI: https://doi.org/10.1016/j.ijepes.2021.107645
Rak B. P., Santos Pereira R. B., Impact of the wake deficit model on wind farm yield: A study of yaw-based control optimization, Journal of Wind Engineering and Industrial Aerodynamics, Janary 2022, Vol. 220, 104827. DOI: https://doi.org/10.1016/j.jweia.2021.104827
Wu C., Luo K., Wang Q., Fan J., A refined wind farm parameterization for the weather research and forecasting model. Applied Energy, Janary 2022, Vol. 306, 118082. DOI: https://doi.org/10.1016/j.apenergy.2021.118082
Schubel P. J., Crossley R. J., Wind Turbine Blade Design, Energies. September 2012, Vol. 5 (9), pp. 3425–3449. DOI: https://doi.org/10.3390/en5093425
Archer C. L., Mirzaeisefat S., Lee S., Quantifying the sensitivity of wind farm performance to array layout options using large-eddy simulation, Geophysical Research Letters. September 2013, Vol. 40, pp. 4963 – 4970. DOI: https://doi.org/10.1002/grl.50911
Syed A. H., Javed A., Asim Feroz R. M., Calhoun R., Partial repowering analysis of a wind farm by turbine hub height variation to mitigate neighboring wind farm wake interference using mesoscale simulations, Applied Energy, June 2020, Vol. 268, 115050. DOI: https://doi.org/10.1016/j.apenergy.2020.115050
Wang Q., Luo K., Yuan R., Zhang S., Fan J., Wake and performance interference between adjacent wind farms: Case study of Xinjiang in China by means of mesoscale simulations, Energy, January 2019, Vol. 166, pp.1168–1180. DOI: https://doi.org/10.1016/j.energy.2018.10.111
Yang X., Pakula M., Sotiropoulos F., Large-eddy simulation of a utility-scale wind farm in complex terrain, Applied Energy, November 2018, Vol. 229, pp. 767–777. DOI: https://doi.org/10.1016/j.apenergy.2018.08.049
Gasch R., Twele J., Wind Power Plants: Fundamentals, Design, Construction and Operation, Springer, Berlin, Heidelberg , 2012, Second Edition. DOI: https://doi.org/10.1007/978-3-642-22938-1
Santos M., González M., Factors that influence the performance of wind farms, Renewable Energy, May 2019, Vol.135, pp. 643–651, DOI: https://doi.org/10.1016/j.renene.2018.12.033
Ragheb M., Ragheb A. M., Wind Turbines Theory - The Betz Equation and Optimal Rotor Tip Speed Ratio, Fundamental and Advanced Topics in Wind Power, July 2011, Chapter 2, pp.19-38. DOI: https://doi.org/10.5772/21398
Gorban’ A. N., Gorlov A. M., Silantyev V. M., Limits of the Turbine Efficiency for Free Fluid Flow, Journal of Energy Resources Technology, ASME, Decmber 2001, Vol. 123(4), pp. 311-317. DOI: https://doi.org/10.1115/1.1414137
Kalmikov A., Wind Power Fundamentals, Wind Energy Engineering: a Handbook for Onshore and Offshore Wind Turbines, Elsevier; 2017, pp. 17-24, DOI: https://doi.org/10.1016/B978-0-12-809451-8.00002-3
Chehouri A., Younes R., Ilinca A., Perron J., Review of performance optimization techniques applied to wind turbines, Applied Energy, March 2015, Vol. 142, pp. 361-388. DOI: https://doi.org/10.1016/j.apenergy.2014.12.043
Antonini E. G. A., Romero D. A., Amon C. H., Improving CFD wind farm simulations incorporating wind direction uncertainty, Renewable Energy, April 2019, Vol. 133, pp.1011–1023. DOI: https://doi.org/10.1016/j.renene.2018.10.084
Naderi S., Parvanehmasiha S., Torabi F., Modeling of horizontal axis wind turbine wakes in Horns Rev offshore wind farm using an improved actuator disc model coupled with computational fluid dynamic, Energy Conversion and Management, September 2018, Vol. 171, pp. 953–968. DOI: https://doi.org/10.1016/j.enconman.2018.06.043
Mahmuddin F., Rotor Blade Performance Analysis with Blade Element Momentum Theory, Energy Procedia, May 2017, Vol. 105, pp. 1123–1129.DOI: https://doi.org/10.1016/j.egypro.2017.03.477
Nejadkhaki H. K., Sohrabi A., Purandare T. P., Battaglia F., Hall J. F., A variable twist blade for horizontal axis wind turbines: Modeling and analysis, Energy Conversion and Management, November 2021, Vol. 248,114771. DOI: https://doi.org/10.1016/j.enconman.2021.114771
Abdelsalam A. M., El-Askary W. A., Kotb M. A., Sakr I. M., Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile, Energy, February 2021, Vol. 216, 119304. DOI: https://doi.org/10.1016/j.energy.2020.119304
Thangavelu S. K., Chow S. F., Sia C. C. V., Chong K. H., Aeroelastic performance analysis of horizontal axis wind turbine (HAWT) swept blades. Materialstoday: Proceedings, Janary 2021, Vol. 47, pp. 4965–4972. DOI: https://doi.org/10.1016/j.matpr.2021.04.315
Shyam A., Aryan A. S., Shailesh C., Harigovind R., Vipin V., and Krishnan A., Design and analysis of small-scale horizontal axis wind turbine using PVC material, Materialstoday Proceedings, Vol. 52, Part 4, 2022, pp. 2238-2254. DOI: https://doi.org/10.1016/j.matpr.2021.08.095
Wei D., Zhao W., Wan D., Xiao Q., A new method for simulating multiple wind turbine wakes under yawed conditions, Ocean Engineering, November 2021, Vol. 239, 109832. DOI: https://doi.org/10.1016/j.oceaneng.2021.109832
Gao X., Li B., Wang T., Sun H., Yang H., Li Y., Wang Y., Zhao F., Investigation and validation of 3D wake model for horizontal-axis wind turbines based on filed measurements, Applied Energy, Feburary 2020, Vol. 260, 114272. DOI: https://doi.org/10.1016/j.apenergy.2019.114272
Prabowoputra D. M., Prabowo A. R., Bahatmaka A., Hadi S., Analytical Review of Material Criteria as Supporting Factors in Horizontal Axis Wind Turbines: Effect to Structural Responses, Procedia Structural Integrity, Janary 2020, Vol. 27, pp. 155 - 162. DOI: https://doi.org/10.1016/j.prostr.2020.07.021
Qi Y., Xu S., Huang D., Investigation on aerodynamic performance of horizontal axis wind turbine by setting micro-plate in front of the blade leading edge, Renewable Energy, December 2021, Vol. 179, pp. 2309–2321. DOI: https://doi.org/10.1016/j.renene.2021.08.035
Regodeseves P. G., Morros C. S., Numerical study on the aerodynamics of an experimental wind turbine: Influence of nacelle and tower on the blades and near-wake, Energy Conversion and Management, June 2021, Vol. 237, 114110. DOI: https://doi.org/10.1016/j.enconman.2021.114110
Guo T., Guo X., Gao Z., Li S., Zheng X., Gao X., Rennian L., Wang T., Li Y., Li D., Nacelle and tower effect on a stand-alone wind turbine energy output—A discussion on field measurements of a small wind turbine, Applied Energy, December 2021, Vol. 303, 117590. DOI: https://doi.org/10.1016/j.apenergy.2021.117590
Gao Z., Li Y., Wang T., Shen W., Zheng X., Pröbsting S., Li D., Li R., Modelling the nacelle wake of a horizontal-axis wind turbine under different yaw conditions, Renewable Energy. July 2021, Vol. 172, pp. 263–275. DOI: https://doi.org/10.1016/j.renene.2021.02.140
Abraham A., Dasari T., Hong J., Effect of turbine nacelle and tower on the near wake of a utility-scale wind turbine, Journal of Wind Engineering and Industrial Aerodynamics, October 2019, Vol. 193, 103981. DOI: https://doi.org/10.1016/j.jweia.2019.103981
Zhu X., Sun C., Ouyang H., Du Z., Numerical investigation of the effect of towers and nacelles on the near wake of a horizontal-axis wind turbine model, Energy, Janary 2022, Vol. 238, 121782. DOI: https://doi.org/10.1016/j.energy.2021.121782
Caldichoury, M. Souli, E. Sarradj, T. Geyer, F. Del Pin, Numerical investigation of flow around hairy flaps cylinder using FSI Capabilities, International journal of Multiphysics, 2018, Vol. 12, No. 2, DOI: https://doi.org/10.21152/1750-9548.12.2.189
Zienkiewicz O. C., Taylor R. L., Nithiarasu P., Turbulent Flows, The Finite Element Method for Fluid Dynamics, Chapter 8, 2014, 7th Edition, pp. 283–308. DOI: https://doi.org/10.1016/B978-1-85617-635-4.00008-X
Monteiro J. P., Silvestre M. R., Piggott H., André J. C., Wind tunnel testing of a horizontal axis wind turbine rotor and comparison with simulations from two Blade Element Momentum codes, Journal of Wind Engineering and Industrial Aerodynamics, December 2013, Vol. 123, pp. 99–106. DOI: https://doi.org/10.1016/j.jweia.2013.09.008
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